Existing classifications of streamflow permanence, as well as delineations of stream hydrography (i.e., digital maps of the stream network) depend heavily on decades-old information and are in urgent need of updating (Hafen et al. The new Colville National Forest Land and Resource Management Plan (2019), for example, specifies riparian management areas with sizes that differ, in part, based on streamflow permanence (i.e., perennial or seasonally flowing). Patterns of streamflow permanence drive important decisions regarding forest management and other land uses, as well as vulnerability of native fishes – especially species in headwater streams. Problem: Streamflow permanence refers to the probability that a stream will lose surface flow (become a dry channel), as well as the timing, duration, and frequency of drying. How USGS will help: The study will use wet/dry field observations collected in 2021 using the FLOwPER data collection mobile application to produce a new predictive empirical model to map the likelihood of stream drying for streams flowing within the Colville Nati ![]() To address these critical needs, stream hydrography is being updated across the Pacific Northwest using high-resolution Light Detection and Ranging (LiDAR) elevation data and new models predict flow permanence throughout entire stream networks. Existing classifications of streamflow permanence, as well as delineations of stream hydrography depend heavily on decades-old information and are in urgent need of updating. ![]() The Colville National Forest Land and Resource Management Plan (2019), for example, specifies riparian management areas with sizes that differ, in part, based on streamflow permanence. Patterns of streamflow permanence drive important decisions regarding forest management and other land uses. The Issue: Streamflow permanence refers to the probability that a stream will lose surface flow (become a dry channel), as well as the timing, duration, and frequency of drying.
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